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Swarm Workflow Initialization

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Linked challenge: Arctic Sentinel: Agentic Swarm Orchestration with Mastra AI and Haize Labs

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Linked challenge

Arctic Sentinel: Agentic Swarm Orchestration with Mastra AI and Haize Labs

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Using Mastra AI, initialize a new `Workflow` named 'ArcticSentinel'. Define a starting step that triggers when a 'SensorAlert' is received. Import `{ Mastra, Agent, Workflow } from '@mastra/core'`. Define a tool `calculateIntercept` that takes GPS coordinates and returns a vector. Ensure the workflow state maintains the history of 'LastKnownIcePosition'.

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Hold the task contract and output shape stable so generated implementations remain comparable.

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Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.

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This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Arctic Sentinel: Agentic Swarm Orchestration with Mastra AI and Haize Labs

Inspired by recent defense directives highlighting unmanned systems as the linchpin of Arctic maritime defense, this challenge tasks you with building a resilient multi-agent orchestration layer. You will develop a system capable of managing a swarm of Unmanned Underwater Vehicles (UUVs) and Unmanned Surface Vessels (USVs) in a simulated Arctic environment. The core focus is on maintaining surveillance persistence despite high-latency communication and adversarial interference. Using the Mastra AI framework, you will design 'Agentic Workflows' that handle sensor fusion from sonar and AIS (Automatic Identification System) data. To ensure the robustness of the mission logic against 'chilling' tactical failures or adversarial data poisoning, you will integrate Haize Labs for automated red-teaming and safety evaluation. The system must autonomously re-route patrol paths when a primary node fails or when ice shelf telemetry suggests a navigation hazard, all while keeping the 'Information Dominance' objectives of Zero Trust architecture in mind.

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